International Journal of Data Science and Analytics

德国

发文量 1,277

被引量 13,957

影响因子(2025版) 1.401

Data Science has been established as an important emergent scientific field and paradigm driving research evolution in such disciplines as statistics, computing science and intelligence science, and practical transformation in such domains as science, engineering, the public sector, business, social science, and lifestyle. The field encompasses the larger areas of artificial intelligence, data analytics, machine learning, pattern recognition, natural language understanding, and big data manipulation. It also tackles related new scientific challenges, ranging from data capture, creation, storage, retrieval, sharing, analysis, optimization, and visualization, to integrative analysis across heterogeneous and interdependent complex resources for better decision-making, collaboration, and, ultimately, value creation.

主办单位： SPRINGERNATURE
出版地区： LONDON
出版周期：季刊
别名： INT J DATA SCI ANAL;Int J Data Sci Anal;Int. J, Data Sci. Anal.;INTERNATIONAL JOURNAL OF DATA SCIENCE AND ANALYTICS;International journal of data science and analytics

国际标准连续出版物号/电子版： ISSN 2364-415X / EISSN 2364-4168
创刊时间： 2016年

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新发布(2025版)

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vol.22 (2026)
vol.22 (2026)

1
vol.21 (2025)
vol.21 (2025)
vol.20 (2025)
vol.20 (2025)
vol.19 (2025)
vol.19 (2025)
vol.18 (2024)
vol.18 (2024)
vol.17 (2024)
vol.17 (2024)
vol.16 (2023)
vol.16 (2023)
vol.15 (2023)
vol.15 (2023)
vol.14 (2022)
vol.14 (2022)
vol.13 (2022)
vol.13 (2022)
vol.12 (2021)
vol.12 (2021)
vol.11 (2021)
vol.11 (2021)
vol.10 (2020)
vol.10 (2020)
vol.9 (2020)
vol.9 (2020)
vol.8 (2019)
vol.8 (2019)
vol.7 (2019)
vol.7 (2019)
vol.6 (2018)
vol.6 (2018)
vol.5 (2018)
vol.5 (2018)
vol.3 (2017)
vol.3 (2017)
vol.2 (2016)
vol.2 (2016)

封面

2026年1期

共：284篇